基于Python的化工流程优化系统开发  

Development of chemical process optimization system based on Python

作　　者：魏晓彤 岳金彩 杨安明 周东健 郑世清 WEI Xiaotong;YUE Jincai;YANG Anming;ZHOU Dongjian;ZHENG Shiqing(School of Chemical Engineering,Qingdao University of Science and Technology,Shandong Qingdao 266042,China;Qingdao Yinke Hengyuan Chemical Process Information Technology Co.,Ltd.,Shandong Qingdao 266042,China)

机构地区：[1]青岛科技大学化工学院,山东青岛266042 [2]青岛银科恒远化工过程信息技术有限公司,山东青岛266042

出　　处：《化学工业与工程》2024年第1期118-124,共7页Chemical Industry and Engineering

基　　金：山东省重点研发计划项目资助(2019JMRH00305)。

摘　　要：作为一种通用化工流程模拟系统,Aspen Plus已广泛应用于化工流程的模拟、设计与优化。随着人们对复杂流程优化的需求越来越多,Aspen Plus自带的灵敏度分析已经不能满足需要,将Aspen Plus与优化算法进行集成,用于求解复杂优化问题有其必要。在Python环境下实现了对Aspen Plus流程模拟的控制和数据传递,在此基础上开发了一套流程优化系统,可将各种优化算法方便地集成在一起,用于解决不同特点的优化问题。采用坐标轮换法以年度总费用TAC(Total An-nual Cost)为目标函数,对甲醇-丙酮共沸体系的双塔变压精馏进行优化,灵活实现了对不同变量、不同顺序的优化,均取得预期效果,提高了工艺开发效率。As a general chemical process simulation system,Aspen Plus has been widely used in simula-tion,design and optimization of chemical processes.As the need for complex process optimization increa-ses,Aspen Plus’s built-in sensitivity analysis is no longer sufficient.Therefore,it is necessary to in-tegrate Aspen Plus with optimization algorithms for solving complex optimization problems.In the Python environment,the control and data transmission of the Aspen Plus process simulation are realized,and a process optimization system is developed on this basis,which can easily integrate various optimization al-gorithms to solve optimization problems with different characteristics.Using theunivariate search tech-nique to optimize the double-column variable pressure distillation of methanol-acetone azeotropic system with the annual total cost as the target function,the optimization of different variables and different se-quences is flexibly realized,and the expected effects are achieved and the process development efficiency is improved.

关 键 词：Aspen Plus PYTHON 软件集成 优化 变压精馏 算法 

分 类 号：TQ021.8[化学工程]